Modeling the impact of diverse extreme climate scenarios on residential buildings with renewable energy and storage in cold regions : A techno-economic analysis
ur Rehman, Hassam LU ; Nik, Vahid M. LU
; Ramesh, Rakesh
and Hasan, Ala
(2025)
19th IBPSA Conference on Building Simulation, BS 2025
In Building Simulation Conference Proceedings
19.
- Abstract
In the future, buildings need to be energy resilient to tackle the energy crisis. This article introduces a concept for classifying the energy resilience of buildings in extreme cold and warm weather in Finland during blackouts. It presents a techno-economic comparison between an old and a new single-family building integrated with photovoltaic (PV) systems and batteries, analyzing their resilience under extreme weather conditions. Using TRNSYS simulations, the study shows that the old building, without PV and battery, has a robustness duration of 1 to 3 hours and a degree of disruption (DoD) ranging from 0.545 to 0.299 in extreme cold to warm conditions, respectively. With PV and battery, the DoD improved to 0.443 and 0, and the... (More)
In the future, buildings need to be energy resilient to tackle the energy crisis. This article introduces a concept for classifying the energy resilience of buildings in extreme cold and warm weather in Finland during blackouts. It presents a techno-economic comparison between an old and a new single-family building integrated with photovoltaic (PV) systems and batteries, analyzing their resilience under extreme weather conditions. Using TRNSYS simulations, the study shows that the old building, without PV and battery, has a robustness duration of 1 to 3 hours and a degree of disruption (DoD) ranging from 0.545 to 0.299 in extreme cold to warm conditions, respectively. With PV and battery, the DoD improved to 0.443 and 0, and the robustness duration increased. The new building's robustness duration ranged from 3 to 15 hours, with a DoD of 0.496 to 0.22 in extreme cold to warm conditions. With PV and battery, its DoD improved to between 0.25 and 0. A color-based classification system revealed that higher PV and battery capacity, at increased cost, are optimal for the old building under extreme cold scenarios. Other indicators varied based on building age and weather. The proposed resilience classification system could help improve building regulations, ensuring the development of more resilient buildings in the face of extreme weather.
(Less)
- author
- ur Rehman, Hassam
LU
; Nik, Vahid M.
LU
; Ramesh, Rakesh
and Hasan, Ala
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- BS 2025 - Proceedings of Building Simulation 2025 : 19th Conference of IBPSA - 19th Conference of IBPSA
- series title
- Building Simulation Conference Proceedings
- volume
- 19
- publisher
- International Building Performance Simulation Association (IBPSA)
- conference name
- 19th IBPSA Conference on Building Simulation, BS 2025
- conference location
- Brisbane, Australia
- conference dates
- 2025-08-24 - 2025-08-27
- external identifiers
-
- scopus:105035251662
- ISSN
- 2522-2708
- ISBN
- 9781775052043
- DOI
- 10.26868/25222708.2025.1109
- language
- English
- LU publication?
- yes
- id
- d7c483de-deb3-4d20-a477-f5eeb36ffaf1
- date added to LUP
- 2026-04-24 15:07:31
- date last changed
- 2026-04-27 15:08:31
@inproceedings{d7c483de-deb3-4d20-a477-f5eeb36ffaf1,
abstract = {{<p>In the future, buildings need to be energy resilient to tackle the energy crisis. This article introduces a concept for classifying the energy resilience of buildings in extreme cold and warm weather in Finland during blackouts. It presents a techno-economic comparison between an old and a new single-family building integrated with photovoltaic (PV) systems and batteries, analyzing their resilience under extreme weather conditions. Using TRNSYS simulations, the study shows that the old building, without PV and battery, has a robustness duration of 1 to 3 hours and a degree of disruption (DoD) ranging from 0.545 to 0.299 in extreme cold to warm conditions, respectively. With PV and battery, the DoD improved to 0.443 and 0, and the robustness duration increased. The new building's robustness duration ranged from 3 to 15 hours, with a DoD of 0.496 to 0.22 in extreme cold to warm conditions. With PV and battery, its DoD improved to between 0.25 and 0. A color-based classification system revealed that higher PV and battery capacity, at increased cost, are optimal for the old building under extreme cold scenarios. Other indicators varied based on building age and weather. The proposed resilience classification system could help improve building regulations, ensuring the development of more resilient buildings in the face of extreme weather.</p>}},
author = {{ur Rehman, Hassam and Nik, Vahid M. and Ramesh, Rakesh and Hasan, Ala}},
booktitle = {{BS 2025 - Proceedings of Building Simulation 2025 : 19th Conference of IBPSA}},
isbn = {{9781775052043}},
issn = {{2522-2708}},
language = {{eng}},
publisher = {{International Building Performance Simulation Association (IBPSA)}},
series = {{Building Simulation Conference Proceedings}},
title = {{Modeling the impact of diverse extreme climate scenarios on residential buildings with renewable energy and storage in cold regions : A techno-economic analysis}},
url = {{http://dx.doi.org/10.26868/25222708.2025.1109}},
doi = {{10.26868/25222708.2025.1109}},
volume = {{19}},
year = {{2025}},
}